76 to 100 of 448 Statistics Jobs in the UK

Matplotlib. Experience developing machine learning models for prediction, optimisation or classification. Strong SQL skills and experience working with relational databases. Sound understanding of statistics, predictive modelling and machine learning techniques. Experience working with geospatial datasets using GeoPandas, QGIS or similar technologies. Ability to work with large and complex datasets ...

Practical experience with Machine Learning problems and Large Language Models Ph.D. in ML, NLP or a relevant field or MSc in CS, ML, Math, Statistics, Engineering, or related fields and previous relevant work experience Proficiency in software engineering with Python, including experience with production ML infrastructure (model serving, data pipelines ...

complex and fast-changing environments. Working closely with Product Managers, Solution Architects, Data Engineers and Machine Learning Engineers, you'll apply advanced analytics, statistics and machine learning to transform large, complex datasets into trusted customer-facing data products. This is an opportunity to play a key role in building commercially ...

complex and fast-changing environments. Working closely with Product Managers, Solution Architects, Data Engineers and Machine Learning Engineers, you'll apply advanced analytics, statistics and machine learning to transform large, complex datasets into trusted customer-facing data products. This is an opportunity to play a key role in building commercially ...

performance, andmaintainability Preferably also someone who can set the buildingblocks and lead building out the backlog Required Skills Bachelor or Master or equivalent in Statistics,Mathematics, Econometrics or similar discipline with at least 8-12 years’experience on data science/AI projects. Deep understanding of LLM families (GPT, Llama ...

stay one step ahead in addressing fraud risks. To be successful as a Fraud Data Scientist, you should have: A degree in Mathematics, Statistics, Computer Science, Data Science, or a related quantitative discipline (or equivalent relevant experience). Proven experience in fraud analytics, scam prevention, financial crime, or cybersecurity, preferably ...

Practical experience with Machine Learning problems and Large Language Models. Ph.D. in ML, NLP or a relevant field; or MSc in CS, ML, Math, Statistics, Engineering, or related fields and previous relevant work experience. Proficiency in software engineering with Python, including experience with production ML infrastructure (model serving, data pipelines ...

business audiences. Curious, hardworking and detail‐oriented, and motivated by complex analytical problem Preferred qualifications, capabilities, and skills Strong background in Mathematics and Statistics and familiarity with the financial services industries and continuous integration models and unit test development Knowledge in search/ranking, Reinforcement Learning or Meta Learning Expertise ...

with internal policies for model risk management and data governance. Required Qualifications, Capabilities, and Skills Advanced degree (PhD, MSc, or equivalent) in Mathematics, Physics, Statistics, Computer Science, or a related quantitative field. 5+ years of front‐office quant experience supporting trading/risk in F&O and/ ...

concept and of independently managing workstreams in larger projects.* Experience in mentoring junior resources.Basic Qualifications* Bachelor's degree in Math, Physics, Computer Science, Statistics, or equivalent qualifications* A couple of years of data science experience* Ability to travel to clients and FTI office(s)Technical Platform Requirements* Proficiency ...

modern cloud warehouse and transformation framework (e.g. dbt with BigQuery, Snowflake), with a strong instinct for data quality. A solid grasp of statistics and probability, including experiment design and interpretation (A/B and quasi‐experimental methods such as difference‐in‐differences). A working understanding of how a payments ...

details, please refer to the attached job description and person specification. Person Specification Education and Training Essential Master's degree in Computer Science, Mathematics, Statistics, Data Science, or a related quantitative discipline. Desirable Further post-graduate qualification and/or relevant certification in data science, machine learning, cloud or data … Agile/Scrum delivery environments. Experience mentoring and supporting colleagues and contributing to capability building within a team. Knowledge Essential Strong knowledge of statistics and machine learning methods and when to apply them, including appropriate evaluation and limitations. Understanding of the data science lifecycle, reproducibility, and the controls needed ...

through the effective use of data science. Skills & Experience: Proven experience leading Data Science teams in a commercial environment. Strong knowledge of machine learning, statistics, Python and SQL. Experience developing and deploying predictive models using customer and commercial data. Experience with cloud analytics platforms (e.g. Databricks, Snowflake or BigQuery). ...

Science, Machine Learning or a similar role • Strong Python and SQL skills • Experience building machine learning models in a production environment • Strong understanding of statistics, experimentation and hypothesis testing • Experience with recommendation systems, personalisation or predictive modelling is beneficial • Strong commercial awareness and problem-solving capabilities • Ability to communicate technical ...

audiences Client relationship management abilities Desirable: Cloud-based Data Science and Machine Learning services (AWS, Azure, GCP) Familiarity with Python libraries for data management, statistics, machine learning, and visualisation. Expertise in popular machine learning frameworks like TensorFlow and PyTorch Knowledge of cutting-edge techniques for Natural Language Processing and Computer ...

facing solutions. Support the continuous improvement and iteration of deployed models. About You Essential Requirements Bachelor's degree or higher in Computer Science, Mathematics, Statistics or a related technical field. Strong Python programming skills and hands-on experience with PyTorch and modern deep learning frameworks. Excellent understanding of machine learning ...

experience as an ML/AI focused engineer, with 1+ year in a senior capacity preferred. Master’s or PhD degree in Computer Science, Statistics, Mathematics, or a related quantitative field. Expert proficiency in GCP’s ML/AI tooling, its data ecosystem, and Python with core ML/ ...

research rigor, code quality, and reproducibility. Required Qualifications, Capabilities, and Skills Master’s degree in a STEM field (Computer Science, Engineering, Mathematics/Statistics, Physics) or equivalent practical experience. Solid relevant experience in quantitative execution research, TCA, algorithmic trading, or closely related electronic trading analytics roles. Demonstrated expertise ...

communication skills. Excellent data storytelling skills and the ability to explain complex findings clearly. Strong critical-thinking skills. A numerate degree such as Mathematics, Statistics, Economics, Engineering, Physics or a similar discipline. Comfortable working with tables, data and analytical outputs. Experience producing and presenting analysis using tools such as PowerPoint ...

including standards and templates, and represent the firm in external AI forums and industry groups. Qualifications Bachelor’s degree in computer science, engineering, mathematics, statistics, or related fields. 10+ years in technology architecture, 3–5 years focused on AI/ML architecture in large, complex enterprise environments. Hands‐on command ...

pipelines using modern data stack tools (e.g. ELT/ETL frameworks, cloud data warehouses, orchestration tools). A Degree in Computer Science, Engineering, Mathematics, Statistics, Economics or another quantitative field (or equivalent work experience). Solid understanding of data modelling concepts and analytics-ready schemas. Demonstrated experience managing relationships with ...

make data-driven decisions and defend these decisions from challenge. A master's degree in a quantitative analytical discipline e.g. mathematics, applied mathematics, physics, statistics, engineering, econometrics. (Confirmation will be sought if successful for the role). Why Work For AIB: We are committed to offering our colleagues choice ...

andmaximises the time used as part of off-the-job training. Microsoft Office Specialist: Excel Associate Data and Visualisation using SAS® Data Analysis and Statistics SQL and Data Modelling Exploring Data Science using Python and R Data Challenge workshop Online development sessions (Optional) An apprenticeship has to be relevant ...

business audiences. Curious, hardworking and detail‐oriented, and motivated by complex analytical problems Preferred qualifications, capabilities , and skills Strong background in Mathematics and Statistics and familiarity with the financial services industries and continuous integration models and unit test development Knowledge in graph integration with LLM, Reinforcement Learning or Meta Learning ...

standard for technical execution, design thinking, and engineering rigor You’ll need to have: A bachelor’s degree or above in Statistics, Computer Science, Quantitative Finance or other STEM related field or degree‐equivalent qualifications 4+ years of experience designing and building scalable data solutions, ETL pipelines, data workflows ...